tudoanh

import ffmpeg
from tensorflow import keras
import cv2


def video_to_data():
    # Extract frames from video every 1 second and save to data dir using ffmpeg and start from 0
    ffmpeg.input("./subtitles.mp4").output("./data/%d.png", ss="0").run()

tudoanh

tudoanh

tudoanh

# -*- coding: utf-8 -*-

import math

def ClearScreen () :
    # DESCRIPTION:
    #         Prints a whole bunch of space to screen
    print("\n"*200)

def ColouredString (message,colour) :

tudoanh

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# http://blog.ithomer.net

import time
import redis
import threading

class Listener(threading.Thread):
    def __init__(self, r, channels):

tudoanh

#!/usr/bin/env python3

import subprocess
import sys

import requests
import bs4
from slugify import slugify
from rich.console import Console

tudoanh

from PIL import Image
from pathlib import Path

import glob

f_names = glob.glob("./Meme/*.jpg")  ## Change this to your directory that hold the memes


for f in f_names:
    name = Path(f).stem

tudoanh

#!/usr/bin/env python3
import sqlite3
import os
import random
import subprocess
import requests

# Set up the database connection and cursor
conn = sqlite3.connect("imgur.db")
c = conn.cursor()

tudoanh

#!/usr/bin/env python3

import random
import requests
import subprocess


topic = random.choice(
    ["meal", "food", "beverage", "wine", "bread", "restaurant", "work"]
)

tudoanh

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